{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:26:36Z","timestamp":1754155596216,"version":"3.41.2"},"reference-count":26,"publisher":"Emerald","issue":"6\/7","license":[{"start":{"date-parts":[[2015,6,1]],"date-time":"2015-06-01T00:00:00Z","timestamp":1433116800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6,1]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The concept of utility was the first time applied in Economics. The purpose of this paper is to report its usefulness for the decision making in complex technological systems, in general and in computer networks, in particular. Three selected decision-making problems are considered, corresponding solution algorithms are explained and results of numerical experiments are presented for the selected real-world case study. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 Referring to similar decision-making problems in Economics, three problems of different time horizon are investigated: strategic investment planning, short-term network rate allocation and on-line network operating. Deterministic and uncertain versions are taken into account, and the latter one is handled more thoroughly. The formalism of uncertain variables is used to represent the parameter uncertainty which concerns users\u2019 demands for services in computer networks as well as network links\u2019 capacities. Corresponding optimization tasks are presented. Numerical experiments concerning a part of the computer network Pionier working in Poland confirmed the usefulness of the solution algorithms proposed. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The carried out numerical experiments verified the importance and worth of the decision-making algorithms for the Pionier computer network. It particularly concerns the game theory-based algorithm solving the on-line network operating problem which enables calculating the rates for computer links distinctly, i.e., separately for every link. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 More case studies should be considered to formulate more general corollaries. The application of utility concept for wireless sensor networks needs further studies on solution algorithms. <\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n \u2013 The results can be directly applied to a class of modern computer networks, e.g., content delivery networks, self-managing networks, context aware networks, multilevel virtual networks. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The paper presents the unified and systematic approach for individual results previously obtained, and it considers one case study.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/k-12-2014-0299","type":"journal-article","created":{"date-parts":[[2015,9,25]],"date-time":"2015-09-25T04:26:13Z","timestamp":1443155173000},"page":"1107-1121","source":"Crossref","is-referenced-by-count":3,"title":["Utility-based models and decision making problems for selected network processes"],"prefix":"10.1108","volume":"44","author":[{"given":"Jerzy","family":"Jozefczyk","sequence":"first","affiliation":[]},{"given":"Dariusz","family":"Gasior","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2020122320441472700_b1","doi-asserted-by":"crossref","unstructured":"Bettstetter, C.\n and \n Prehofer, C.\n (2005), \u201cSelf-organisation in communication networks: principles and design paradigms\u201d, \n IEEE Communications Magazine\n , Vol. 43 No. 7, pp. 78-85.","DOI":"10.1109\/MCOM.2005.1470824"},{"key":"key2020122320441472700_b2","doi-asserted-by":"crossref","unstructured":"Boyd, S.P.\n and \n Vandenberghe, L.\n (2004), \n Convex Optimization\n , Cambridge University Press, Cambridge.","DOI":"10.1017\/CBO9780511804441"},{"key":"key2020122320441472700_b3","doi-asserted-by":"crossref","unstructured":"Bubnicki, Z.\n (2004), \n Analysis and Decision Making in Uncertain Systems\n , Springer, London, Berlin, Heidelberg.","DOI":"10.1007\/978-1-4471-3760-3"},{"key":"key2020122320441472700_b4","doi-asserted-by":"crossref","unstructured":"Drwal, M.\n and \n J\u00f3zefczyk, J.\n (2014), \u201cDecomposition algorithms for data placement problem based on lagrangian relaxation and randomized rounding\u201d, \n Annals of Operations Research\n , Vol. 222 No. 1, pp. 261-277.","DOI":"10.1007\/s10479-013-1330-7"},{"key":"key2020122320441472700_b5","doi-asserted-by":"crossref","unstructured":"G\u0105sior, D.\n (2008), \u201cQoS rate allocation in computer networks under uncertainty\u201d, \n Kybernetes\n , Vol. 37 No. 5, pp. 693-712.","DOI":"10.1108\/03684920810873308"},{"key":"key2020122320441472700_b6","unstructured":"G\u0105sior, D.\n and \n Drwal, M.\n (2011), \u201cUtility-based rate control and capacity allocation in virtual networks\u201d, Proceedings of the 1st European Teletraffic Seminar, pp. 176-181."},{"key":"key2020122320441472700_b7","doi-asserted-by":"crossref","unstructured":"G\u0105sior, D.\n and \n Drwal, M.\n (2013), \u201cPareto-optimal Nash equilibrium in capacity allocation game for self-managed networks\u201d, \n Computer Networks\n , Vol. 57 No. 14, pp. 2817-2832.","DOI":"10.1016\/j.comnet.2013.06.012"},{"key":"key2020122320441472700_b8","doi-asserted-by":"crossref","unstructured":"G\u0105sior, D.\n and \n J\u00f3zefczyk, J.\n (2009), \u201cApplication of uncertain variables to production planning in a class of manufacturing systems\u201d, \n Bulletin of the Polish Academy of Sciences\n , Vol. 57 No. 3, pp. 257-263.","DOI":"10.2478\/v10175-010-0127-y"},{"key":"key2020122320441472700_b9","doi-asserted-by":"crossref","unstructured":"G\u0105sior, D.\n and \n Orski, D.\n (2014), \u201cOn the rate allocation problem under co-existence of uncertain utility function parameters and uncertain link capacities\u201d, \n Journal of the Operational Research Society\n , Vol. 65 No. 10, pp. 1562-1570.","DOI":"10.1057\/jors.2013.113"},{"key":"key2020122320441472700_b10","unstructured":"G\u0105sior, D.\n and \n Turowska, M.\n (2006), \u201cRate allocation in computer networks to minimize transmission cost under uncertainty\u201d, in \n Borzemski, L.\n , \n Grzech, A.\n and \n Wilimowska, Z.\n (Eds), \n Information Systems Architecture and Technology. 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